Subject description
Software applications, programming developments, mathematical techniques, and approaches to problem solving are explored from a wide variety of engineering areas. Capable of handling large systems of equations, nonlinearities and complicated geometries in engineering practice. Topics will be selected from the following list: Roots of nonlinear equations; Linear algebraic equations; Curve … For more content click the Read More button below.
Tutorial enrolment
Students can enrol online via the Tutorial Enrolment link in SOLS
Delivery
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Teaching staff
Subject coordinators
Lecturers
Engagement hours
Contact Hours:2 hr lecture and 2 hr computer lab
Learning outcomes
On successful completion of this subject, students will be able to:
1.
Interpret the principles of numerical computing, error analysis and structured programming for engineering problems in the industry practice and academic research.
2.
Construct and justify the mathematical models for linear and non-linear engineering systems.
3.
Incorporate the experimental data in the analysis of engineering systems.
4.
Utilise software and computing techniques to effectively develop a solution for engineering problem.
Assessment details
Quizzes
Mid Session Exam
Programming Quiz
Final Exam
Work integrated learning
Embedded WIL:This subject contains elements of "Embedded WIL". Students in this subject will experience activities that relate to or simulate professional practice as part of their learning.
Textbook information
Sauer, T. (2014). Numerical Analysis. 2nd ed. USA: Pearson. ebook is available from the library collection and for purchase from http://www.pearson.com.au/9781292036748